The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database Using Natural Language Processing and Machine Learning.

Leightley, Daniel; Pernet, David; Velupillai, Sumithra; Stewart, Robert J; Mark, Katharine M; Opie, Elena; Murphy, Dominic; Fear, Nicola T; Stevelink, Sharon A M

Leightley, Daniel; Pernet, David; Velupillai, Sumithra; Stewart, Robert J; Mark, Katharine M; Opie, Elena; Murphy, Dominic; Fear, Nicola T; Stevelink, Sharon A M.

Affiliation

Leightley D; King's Centre for Military Health Research, King's College London, London, United Kingdom.
Pernet D; King's Centre for Military Health Research, King's College London, London, United Kingdom.
Velupillai S; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Stewart RJ; South London and Maudsley NHS Foundation Trust, London, United Kingdom.
Mark KM; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Opie E; South London and Maudsley NHS Foundation Trust, London, United Kingdom.
Murphy D; King's Centre for Military Health Research, King's College London, London, United Kingdom.
Fear NT; King's Centre for Military Health Research, King's College London, London, United Kingdom.
Stevelink SAM; King's Centre for Military Health Research, King's College London, London, United Kingdom.

JMIR Med Inform ; 8(5): e15852, 2020 May 25.

Article in En | MEDLINE | ID: mdl-32348287

Key words

electronic health care records; machine learning; mental health; military personnel; natural language processing; veteran

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: JMIR Med Inform Year: 2020 Document type: Article Affiliation country: United kingdom Country of publication: Canada

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